--------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  ...\1805 Roadmaps\Table A9 any info.log
  log type:  text
 opened on:   9 May 2018, 15:30:39

. 
. set seed Xecab35358f70ae9e27e06ec89758e9d6000445f7

. 
. 
. probit vote_leemar ///
>      con con_know con_D1 con_know_D1 ///
>      all_info all_info_know all_info_D1 all_info_know_D1 ///
>      , noconstant

Iteration 0:   log likelihood = -238.44263  
Iteration 1:   log likelihood = -202.41953  
Iteration 2:   log likelihood =  -201.7934  
Iteration 3:   log likelihood = -201.78354  
Iteration 4:   log likelihood = -201.78353  

Probit regression                                 Number of obs   =        344
                                                  Wald chi2(8)    =      58.51
Log likelihood = -201.78353                       Prob > chi2     =     0.0000

----------------------------------------------------------------------------------
     vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
             con |    1.08031   .7214839     1.50   0.134    -.3337729    2.494392
        con_know |  -.6670657   .3117605    -2.14   0.032    -1.278105   -.0560263
          con_D1 |  -1.186089   .9258229    -1.28   0.200    -3.000668    .6284911
     con_know_D1 |   .6710714   .3810591     1.76   0.078    -.0757908    1.417934
        all_info |  -.1631266    .296249    -0.55   0.582     -.743764    .4175109
   all_info_know |  -.1887474   .1168674    -1.62   0.106    -.4178034    .0403085
     all_info_D1 |   .6732859   .3629947     1.85   0.064    -.0381705    1.384742
all_info_know_D1 |   .0550876   .1389015     0.40   0.692    -.2171542    .3273295
----------------------------------------------------------------------------------

. 
. tabstat know_sco if e(sample), s(n mean sd min p25 p50 p75 max)

    variable |         N      mean        sd       min       p25       p50       p75       max
-------------+--------------------------------------------------------------------------------
    know_sco |       344  2.531977  .8666955         1         2         3         3         4
----------------------------------------------------------------------------------------------

. tabstat d1 if e(sample), s(n mean sd min p25 p50 p75 max)

    variable |         N      mean        sd       min       p25       p50       p75       max
-------------+--------------------------------------------------------------------------------
          d1 |       344   .482125  .7398629    -1.848     .0415      .486     1.026     1.978
----------------------------------------------------------------------------------------------

. 
. 
. estsimp probit vote_leemar ///
>      con con_know con_D1 con_know_D1 ///
>      all_info all_info_know all_info_D1 all_info_know_D1 ///
>      , noconstant

Iteration 0:   log likelihood = -238.44263
Iteration 1:   log likelihood = -203.24921
Iteration 2:   log likelihood = -201.83704
Iteration 3:   log likelihood = -201.78388
Iteration 4:   log likelihood = -201.78353

Probit regression                                 Number of obs   =        344
                                                  LR chi2(8)      =          .
Log likelihood = -201.78353                       Prob > chi2     =          .

------------------------------------------------------------------------------
 vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         con |   1.080313   .7214628     1.50   0.134    -.3337281    2.494354
    con_know |  -.6670676   .3117472    -2.14   0.032    -1.278081   -.0560542
      con_D1 |  -1.186092   .9258012    -1.28   0.200    -3.000629    .6284448
 con_know_D1 |   .6710734   .3810463     1.76   0.078    -.0757636     1.41791
    all_info |  -.1631266    .296249    -0.55   0.582     -.743764    .4175109
all_info_k~w |  -.1887474   .1168674    -1.62   0.106    -.4178034    .0403085
 all_info_D1 |   .6732859   .3629947     1.85   0.064    -.0381705    1.384742
all_info_k~1 |   .0550876   .1389015     0.40   0.692    -.2171542    .3273295
------------------------------------------------------------------------------

Simulating main parameters.  Please wait....
% of simulations completed: 12% 25% 37% 50% 62% 75% 87% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8

. 
. 
. * Knowledge = 1
. 
. setx median

. setx con 1

. setx con_know 1

. setx con_D1 .486

. setx con_know_D1 .486

. setx all_info 0

. setx all_info_know 0

. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |        0          0     
     all_info_D1 |        0          0     
   all_info_know |        0          0     
all_info_know_D1 |        0          0     
             con |        1          1     
          con_D1 |     .486         .486   
        con_know |        1          1     
     con_know_D1 |     .486         .486   
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .4438004     .1457792     .1797264     .739416
            Pr(vote_l~r=1) |   .5561996     .1457792      .260584    .8202736

. 
. simqi, fd(prval(1) genpr(fd_con1)) changex(con_D1 .0415 1.026 con_know_D1 .0415 1.026)

First Difference: con_D1 .0415 1.026 con_know_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1760161     .1981436    -.5516902    .2116842

Simqi generated the following new variable(s): fd_con1

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |      0            0     
     all_info_D1 |      0            0     
   all_info_know |      0            0     
all_info_know_D1 |      0            0     
             con |      1            1     
          con_D1 |      0            0     
        con_know |      1            1     
     con_know_D1 |      0            0     
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .3585064     .1500681     .1015209    .6851549
            Pr(vote_l~r=1) |   .6414936     .1500681     .3148451    .8984791

. 
. simqi, fd(prval(1) genpr(tr_all_info_con1)) changex(con 1 0 con_know 1 0 all_info 0 1 all_info_know 0 1)

First Difference: con 1 0 con_know 1 0 all_info 0 1 all_info_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2770779     .1640427    -.5774628    .0836059

Simqi generated the following new variable(s): tr_all_info_con1

. 
. 
. setx median

. setx all_info 1

. setx all_info_know 1

. setx all_info_D1 .486

. setx all_info_know_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |      .486        .486   
   all_info_know |         1         1     
all_info_know_D1 |      .486        .486   
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .4993638     .0635591     .3748009    .6250054
            Pr(vote_l~r=1) |   .5006362     .0635591     .3749945    .6251991

. 
. simqi, fd(prval(1) genpr(fd_all_info1)) changex(all_info_D1 .0415 1.026 all_info_know_D1 .0415 1.026)

First Difference: all_info_D1 .0415 1.026 all_info_know_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2749845     .0896789     .0844098    .4402648

Simqi generated the following new variable(s): fd_all_info1

. 
. 
. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |         0         0     
   all_info_know |         1         1     
all_info_know_D1 |         0         0     
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6355843     .0715547     .4926947    .7686637
            Pr(vote_l~r=1) |   .3644157     .0715547     .2313363    .5073053

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_all_info_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_all_inf~1 | -.2770779  .1640427 -.6774464 -.5275575 -.4885217 -.2834188 -.0597149  .0033824  .2807474
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_all_info_con1 = fd_all_info1 - fd_con1

. 
. tabstat dif_all_info_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_all_in~1 |  .4510006  .2203894 -.4003018  .0954104   .162223  .4531663  .7300148  .8117305  1.127836
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 2
. 
. setx median

. setx con 1

. setx con_know 2

. setx con_D1 .486

. setx con_know_D1 .972

. setx all_info 0

. setx all_info_know 0

. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |        0          0     
     all_info_D1 |        0          0     
   all_info_know |        0          0     
all_info_know_D1 |        0          0     
             con |        1          1     
          con_D1 |     .486         .486   
        con_know |        2          2     
     con_know_D1 |     .972         .972   
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5702699     .0803661        .4096    .7182217
            Pr(vote_l~r=1) |   .4297301     .0803661     .2817783       .5904

. 
. simqi, fd(prval(1) genpr(fd_con2)) changex(con_D1 .0415 1.026 con_know_D1 .083 2.412)

First Difference: con_D1 .0415 1.026 con_know_D1 .083 2.412

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1463189     .1022055    -.0653183    .3429054

Simqi generated the following new variable(s): fd_con2

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |      0            0     
     all_info_D1 |      0            0     
   all_info_know |      0            0     
all_info_know_D1 |      0            0     
             con |      1            1     
          con_D1 |      0            0     
        con_know |      2            2     
     con_know_D1 |      0            0     
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5971068      .091675     .4164198    .7773933
            Pr(vote_l~r=1) |   .4028932      .091675     .2226068    .5835802

. 
. simqi, fd(prval(1) genpr(tr_all_info_con2)) changex(con 1 0 con_know 2 0 all_info 0 1 all_info_know 0 2)

First Difference: con 1 0 con_know 2 0 all_info 0 1 all_info_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1082167     .0987146    -.3029344      .07951

Simqi generated the following new variable(s): tr_all_info_con2

. 
. 
. setx median

. setx all_info 1

. setx all_info_know 2

. setx all_info_D1 .486

. setx all_info_know_D1 .972

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |      .486        .486   
   all_info_know |         2         2     
all_info_know_D1 |      .972        .972   
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5639741     .0369413     .4894954    .6346538
            Pr(vote_l~r=1) |   .4360259     .0369413     .3653462    .5105046

. 
. simqi, fd(prval(1) genpr(fd_all_info2)) changex(all_info_D1 .0415 1.026 all_info_know_D1 .083 2.412)

First Difference: all_info_D1 .0415 1.026 all_info_know_D1 .083 2.412

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3045579     .0439085     .2160133    .3912426

Simqi generated the following new variable(s): fd_all_info2

. 
. 
. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |         0         0     
   all_info_know |         2         2     
all_info_know_D1 |         0         0     
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7053236     .0397161        .6244    .7769293
            Pr(vote_l~r=1) |   .2946764     .0397161     .2230707       .3756

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_all_info_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_all_inf~2 | -.1082167  .0987146 -.3976255 -.2750674  -.233893 -.1079064  .0189754  .0552425  .1726346
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_all_info_con2 = fd_all_info2 - fd_con2

. 
. tabstat dif_all_info_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_all_in~2 |   .158239  .1120119 -.1512368 -.0193687  .0090679  .1569845  .3054038   .343461  .5232459
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 3
. 
. setx median

. setx con 1

. setx con_know 3

. setx con_D1 .486

. setx con_know_D1 1.458

. setx all_info 0

. setx all_info_know 0

. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |        0          0     
     all_info_D1 |        0          0     
   all_info_know |        0          0     
all_info_know_D1 |        0          0     
             con |        1          1     
          con_D1 |     .486         .486   
        con_know |        3          3     
     con_know_D1 |    1.458        1.458   
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6915244     .0806522      .519489    .8283706
            Pr(vote_l~r=1) |   .3084756     .0806522     .1716294     .480511

. 
. simqi, fd(prval(1) genpr(fd_con3)) changex(con_D1 .0415 1.026 con_know_D1 .1245 3.618)

First Difference: con_D1 .0415 1.026 con_know_D1 .1245 3.618

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |    .393989     .1769758     .0079601    .7032258

Simqi generated the following new variable(s): fd_con3

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |      0            0     
     all_info_D1 |      0            0     
   all_info_know |      0            0     
all_info_know_D1 |      0            0     
             con |      1            1     
          con_D1 |      0            0     
        con_know |      3            3     
     con_know_D1 |      0            0     
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8032954     .0917176     .5892364    .9359683
            Pr(vote_l~r=1) |   .1967046     .0917176     .0640317    .4107636

. 
. simqi, fd(prval(1) genpr(tr_all_info_con3)) changex(con 1 0 con_know 3 0 all_info 0 1 all_info_know 0 3)

First Difference: con 1 0 con_know 3 0 all_info 0 1 all_info_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |     .03676     .1007211     -.193393     .201615

Simqi generated the following new variable(s): tr_all_info_con3

. 
. 
. setx median

. setx all_info 1

. setx all_info_know 3

. setx all_info_D1 .486

. setx all_info_know_D1 1.458

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |      .486        .486   
   all_info_know |         3         3     
all_info_know_D1 |     1.458       1.458   
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6269205     .0358689     .5546753    .6988398
            Pr(vote_l~r=1) |   .3730795     .0358689     .3011602    .4453247

. 
. simqi, fd(prval(1) genpr(fd_all_info3)) changex(all_info_D1 .0415 1.026 all_info_know_D1 .1245 3.618)

First Difference: all_info_D1 .0415 1.026 all_info_know_D1 .1245 3.618

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3183004     .0664983     .1854851    .4499368

Simqi generated the following new variable(s): fd_all_info3

. 
. 
. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |         0         0     
   all_info_know |         3         3     
all_info_know_D1 |         0         0     
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7665354     .0396794     .6847432    .8392928
            Pr(vote_l~r=1) |   .2334646     .0396794     .1607072    .3152567

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_all_info_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_all_inf~3 |    .03676  .1007211 -.4390116 -.1468971 -.0957597   .047309  .1620227  .1829826  .2531203
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_all_info_con3 = fd_all_info3 - fd_con3

. 
. tabstat dif_all_info_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_all_in~3 | -.0756886  .1900098 -.6044334   -.37069 -.3165663 -.0850643  .1699608  .2437931  .5442971
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 4
. 
. setx median

. setx con 1

. setx con_know 4

. setx con_D1 .486

. setx con_know_D1 1.944

. setx all_info 0

. setx all_info_know 0

. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |        0          0     
     all_info_D1 |        0          0     
   all_info_know |        0          0     
all_info_know_D1 |        0          0     
             con |        1          1     
          con_D1 |     .486         .486   
        con_know |        4          4     
     con_know_D1 |    1.944        1.944   
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7811162     .1207944       .49972    .9545015
            Pr(vote_l~r=1) |   .2188838     .1207944     .0454985      .50028

. 
. simqi, fd(prval(1) genpr(fd_con4)) changex(con_D1 .0415 1.026 con_know_D1 .166 4.824)

First Difference: con_D1 .0415 1.026 con_know_D1 .166 4.824

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .5293362     .2521009    -.0082755    .9191935

Simqi generated the following new variable(s): fd_con4

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |      0            0     
     all_info_D1 |      0            0     
   all_info_know |      0            0     
all_info_know_D1 |      0            0     
             con |      1            1     
          con_D1 |      0            0     
        con_know |      4            4     
     con_know_D1 |      0            0     
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .9084308     .0945937     .6503581    .9961548
            Pr(vote_l~r=1) |   .0915692     .0945937     .0038452     .349642

. 
. simqi, fd(prval(1) genpr(tr_all_info_con4)) changex(con 1 0 con_know 4 0 all_info 0 1 all_info_know 0 4)

First Difference: con 1 0 con_know 4 0 all_info 0 1 all_info_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0918404     .1117067    -.1714618    .2651275

Simqi generated the following new variable(s): tr_all_info_con4

. 
. 
. setx median

. setx all_info 1

. setx all_info_know 4

. setx all_info_D1 .486

. setx all_info_know_D1 1.944

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |      .486        .486   
   all_info_know |         4         4     
all_info_know_D1 |     1.944       1.944   
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6851925     .0573672     .5644579    .7906087
            Pr(vote_l~r=1) |   .3148075     .0573672     .2093913    .4355421

. 
. simqi, fd(prval(1) genpr(fd_all_info4)) changex(all_info_D1 .0415 1.026 all_info_know_D1 .166 4.824)

First Difference: all_info_D1 .0415 1.026 all_info_know_D1 .166 4.824

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3205951     .1136535     .0930526    .5381179

Simqi generated the following new variable(s): fd_all_info4

. 
. 
. setx all_info_D1 0

. setx all_info_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

-------------------------------------------
        Variable |    Value     Description
-----------------+-------------------------
        all_info |         1         1     
     all_info_D1 |         0         0     
   all_info_know |         4         4     
all_info_know_D1 |         0         0     
             con |         0       median  
          con_D1 |         0       median  
        con_know |         0       median  
     con_know_D1 |         0       median  
-------------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8165905     .0579395     .6867791    .9123914
            Pr(vote_l~r=1) |   .1834095     .0579395     .0876086    .3132208

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_all_info_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_all_inf~4 |  .0918404  .1117067 -.6413816 -.1140621 -.0412475  .1062354  .2142959  .2484102  .4218623
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_all_info_con4 = fd_all_info4 - fd_con4

. 
. tabstat dif_all_info_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_all_in~4 | -.2087411  .2791096 -.8567532 -.6272912  -.565595 -.2359892  .1639329  .2808751   .617093
--------------------------------------------------------------------------------------------------------

. 
. 
. * Low-knowledge high-knowledge differences
. 
. * Calculate difference in first differences
. 
. * Knowledge = 1 - Knowledge = 4
. 
. gen tr_all_info_con_1_4 = tr_all_info_con1 - tr_all_info_con4

. 
. tabstat tr_all_info_con_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_all_in~_4 | -.3689183  .2397931  -1.01904 -.7279089 -.6522537 -.3809856 -.0683999  .0451644  .7075191
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_con_1_4 = fd_con1 - fd_con4

. gen dif_all_info_1_4 = fd_all_info1 - fd_all_info4

. 
. tabstat dif_con_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_con_1_4 | -.7053522  .4197337 -1.683264 -1.330531 -1.212484 -.7460834 -.1227842  .0481973  .7839285
--------------------------------------------------------------------------------------------------------

. tabstat dif_all_info_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_all_i~_4 | -.0456106  .1858792 -.6847942 -.3534881 -.2822206 -.0411697  .1973914  .2698343  .4387417
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 1 - Knowledge = 3
. 
. gen tr_all_info_con_1_3 = tr_all_info_con1 - tr_all_info_con3

. 
. tabstat tr_all_info_con_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_all_in~_3 | -.3138379  .2082916 -.9035582  -.631106 -.5767535 -.3222603 -.0470571  .0332059  .4921059
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_con_1_3 = fd_con1 - fd_con3

. gen dif_all_info_1_3 = fd_all_info1 - fd_all_info3

. 
. tabstat dif_con_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_con_1_3 | -.5700051  .3310994 -1.397159  -1.09952 -.9865512 -.5853829 -.1132656  .0154154  .6556655
--------------------------------------------------------------------------------------------------------

. tabstat dif_all_info_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_all_i~_3 | -.0433159   .131116 -.5176785  -.260859 -.2081167 -.0418445  .1259154  .1747819  .2970424
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 1 - Knowledge = 2
. 
. gen tr_all_info_con_1_2 = tr_all_info_con1 - tr_all_info_con2

. 
. tabstat tr_all_info_con_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_all_in~_2 | -.1688612  .1131742 -.4918821 -.3452522 -.3081758  -.173701 -.0265092  .0203462  .2514247
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_con_1_2 = fd_con1 - fd_con2

. gen dif_all_info_1_2 = fd_all_info1 - fd_all_info2

. 
. tabstat dif_con_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_con_1_2 |  -.322335  .1826181 -.8569469 -.6060767 -.5502749 -.3278372 -.0720963 -.0113989  .3119619
--------------------------------------------------------------------------------------------------------

. tabstat dif_all_info_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_all_i~_2 | -.0295734  .0709032 -.2970725 -.1501193 -.1180616 -.0297641  .0610268  .0893063  .1553794
--------------------------------------------------------------------------------------------------------

. 
. 
. drop b1-b8

. drop fd_con1-dif_all_info_1_2

. 
. log close
      name:  <unnamed>
       log:  ...\1805 Roadmaps\Table A9 any info.log
  log type:  text
 closed on:   9 May 2018, 15:30:40
--------------------------------------------------------------------------------------------------------------------------
